In mathematical optimization and decision theory, a loss function or cost function is a function that maps an event or values of one or more variables onto a real number intuitively representing some "cost" associated with the event.
there are a lot of loss functions, such as "squared error loss", "triplet loss"
in the context of grammar, which expression is more appropriate?
- Loss functions are important parts of machine learning.
- Loss functions is important part of machine learning.
machine learning has a lot of parts, such as objective function, loss function, it seems that expression_2 is more appropriate. i just need a double confirm.
when I talk about the whole picture of Machine learning, and don't want to go with detail of loss function, should I say "Loss function is an important part of machine learning"?